How is confusion matrix useful in classification problems?

AAWEG I *We put ghosts in machines *

3 min readApr 19

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A confusion matrix is a table that is used to evaluate the performance of a classification model by comparing predicted values against actual values. It is an important tool for understanding the accuracy of a model, and can help identify areas of improvement.

Let’s look at an example of how a confusion matrix can be used in a real-life scenario:

AAWEG I *We put ghosts in machines *

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